On private information retrieval array codes
Yiwei Zhang, Xin Wang, Hengjia Wei, Gennian Ge

TL;DR
This paper investigates the design of PIR array codes in distributed storage, establishing minimum server counts for optimal rate, deriving new upper bounds, and analyzing existing constructions to improve efficiency.
Contribution
It determines the minimum number of servers for optimal rate when 1<s≤2, derives a new upper bound for s>2, and shows existing constructions are more efficient.
Findings
Minimum server count for optimal rate when 1<s≤2
New upper bound on PIR array code rate for s>2
Existing construction by Blackburn and Etzion outperforms others
Abstract
Given a database, the private information retrieval (PIR) protocol allows a user to make queries to several servers and retrieve a certain item of the database via the feedbacks, without revealing the privacy of the specific item to any single server. Classical models of PIR protocols require that each server stores a whole copy of the database. Recently new PIR models are proposed with coding techniques arising from distributed storage system. In these new models each server only stores a fraction of the whole database, where is a given rational number. PIR array codes are recently proposed by Fazeli, Vardy and Yaakobi to characterize the new models. Consider a PIR array code with servers and the -PIR property (which indicates that these servers may emulate any efficient -PIR protocol). The central problem is to design PIR array codes with optimal rate .…
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Taxonomy
TopicsCryptography and Data Security · Advanced Data Storage Technologies · Cooperative Communication and Network Coding
